“Advanced Interfaces to Stem the Data Deluge in Mixed Reality: Placing Human (un)Consciousness in the Loop” by Betella, Martínez, Zucca, Arsiwalla, Omedas, et al. …

  • ©Alberto Betella, Enrique Martínez, Riccardo Zucca, Xerxes D. Arsiwalla, Pedro Omedas, Sytse Wierenga, Anna Mura, Johannes Wagner, Florian Lingenfelser, Elisabeth André, Daniele Mazzei, Alessandro Tognetti, Antonio Lanatà, Danilo De Rossi, and Paul F. M. J. Verschure

  • ©Alberto Betella, Enrique Martínez, Riccardo Zucca, Xerxes D. Arsiwalla, Pedro Omedas, Sytse Wierenga, Anna Mura, Johannes Wagner, Florian Lingenfelser, Elisabeth André, Daniele Mazzei, Alessandro Tognetti, Antonio Lanatà, Danilo De Rossi, and Paul F. M. J. Verschure

  • ©Alberto Betella, Enrique Martínez, Riccardo Zucca, Xerxes D. Arsiwalla, Pedro Omedas, Sytse Wierenga, Anna Mura, Johannes Wagner, Florian Lingenfelser, Elisabeth André, Daniele Mazzei, Alessandro Tognetti, Antonio Lanatà, Danilo De Rossi, and Paul F. M. J. Verschure


Abstract:


    We live in an era of data deluge and this requires novel tools to effectively extract, analyze and understand the massive amounts of data produced by the study of natural and artificial phenomena in many areas of research.

References:


    1. Bernardet, U. et al. 2010. The eXperience Induction Machine: A New Paradigm for Mixed-Reality Interaction Design and Psychological Experimentation. In The Engineering of Mixed Reality Systems, Human-Computer Interaction Series. Springer, 357–379.
    2. Gerhard, S. et al. 2011. The Connectome Viewer Toolkit: An Open Source Framework to Manage, Analyze, and Visualize Connectomes. Frontiers in neuroinformatics 5:3.


Acknowledgements:


    CEEDS (FP7-ICT-2009-5) grant agreement n. 258749.


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